Homework submission
Please review the following rules before submitting your assignment:
- Please, submit only .ipynb that you extract from the Colaboratory.
- Run your homework exercises before submitting (output should be present, preferably restart the kernel and press run all the cells).
- Do not change the description of tasks in red (even if there is a typo|mistake|etc).
- Please, make sure to avoid unnecessary long printouts.
- Each task should be solved right under the question of the task and not elsewhere.
- Solutions to both regular and bonus exercises should be submitted in one IPYNB file.
Note: The late days will be used automatically if you submit after the deadline unless you let us know in advance.
HW1 - supervised learning (Deadline: 24.09.2023)
the submission has been closed
HW2 - unsupervised learning (Deadline: 08.10.2023)
the submission has been closed
HW3 - deep learning (Deadline: 22.10.2023)
the submission has been closed
Paper summary (Deadline: 29.10.2023)
the submission has been closed
HW4 - regularisation learning (Deadline: 05.11.2023)
the submission has been closed
HW5 - ensemble learning (Deadline: 19.11.2023)
the submission has been closed
HW6 - performance metrics (Deadline: 10.12.2023)
the submission has been closed